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An Advanced Optimization Protocol for Cross Layer Routing in MANET
Bushra Tahseen1, P. Suryanarayana Babu2

1Bushra Tahseen*, Research Scholar, Department of Computer Science and Engineering, Rayalaseema University, Kurnool, (Andhra Pradesh), India.
2Dr. P. Suryanarayana Babu, Professor, Department of Computer Science and Engineering, Rayalaseema University, Kurnool, (Andhra Pradesh), India.
Manuscript received on November 27, 2019. | Revised Manuscript received on December 15, 2019. | Manuscript published on December 30, 2019. | PP: 3039-3044 | Volume-9 Issue-2, December, 2019. | Retrieval Number:  B4104129219/2019©BEIESP | DOI: 10.35940/ijeat.B4104.129219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Through advancements in communication techniques, there have been significant advances in information technology. Information exchange is captive from infrastructure-based to infrastructure-free techniques. Development in wireless technology and portable computing systems has brought interest in the mobile communication field. The increasing flexibility of people around the network has generated demand for mobile networks such as MANET that can be deployed rapidly and without infrastructure. When users of MANET expect effective communication, seamless reliability is currently crucial across heterogeneous mobile wireless systems. The main challenges in adhoc networks are regular topology changes due to flexibility and limited battery capacity for mobile devices. Depletion of the power source may cause early links in the network to be unavailable. Often, due to frequent breaks in path and affects the performance adversely needed for applications as well as node flexibility. This research paper aims to test and suggest a cross-layer interaction model between transport layer, routing layer, data link layer, and physical layer with power-efficient routing intentions. Using the proposed link prediction model, the article modified the incorporated AODV routing protocol by the link prediction algorithm to predict the accessibility time and even before the connection breaks. The proposed algorithm increases the service quality of the network and NS2 simulator checked the model. The simulation results indicate that the performance of the AODV routing algorithm is much more effective than the current algorithm.
Keywords: AODV Routing Protocol, Communication Techniques, MANET, Mobile Wireless Systems, Prediction Algorithm, Wireless Technology.